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As part of the <strong>AI Automation Squad</strong>, you will build, test and support generative and agentic AI solutions from a prioritized backlog, with a clear mandate to <strong>reduce operating cost and improve business efficiency</strong> in the processes you support. You will work closely with the Technical Lead and Product Manager to deliver safe, measurable and supportable solutions.</p><p><strong>Location and remote working:</strong></p><p>This role is available on a remote, hybrid or office based basis in India.</p><p><strong>Reporting line and key relationships:</strong></p><ul><li><strong>Reports to:</strong> AI Technical Lead (to be confirmed internally).</li><li><strong>Works closely with:</strong> Technical Lead, Product Manager, developers, data specialists, platform/operations, Information Security, and subject matter experts.</li></ul><p><strong>What success looks like (outcomes):</strong></p><ul><li>Frequent delivery of workable, usable increments that meet the prioritized backlog and <strong>demonstrate real business impact</strong>.</li><li>Measured improvements through iterative cycles – quality, accuracy, user outcomes, <strong>operational efficiency</strong>, and <strong>cost and performance</strong>.</li><li>Clean, well tested code with appropriate documentation and operational readiness.</li><li>Early surfacing of risks (security, privacy, safety, cost) and timely escalation with proposed mitigations.</li><li>Reusable components (prompts, tools, workflows, evaluation assets) that reduce effort and cost for future use cases.</li></ul><p><strong>Key responsibilities:</strong></p><p><strong>1. General responsibilities:</strong></p><ul><li>Implement generative and agentic AI features as production code (services, MCP, APIs, integrations), not just prototypes.</li><li>Build and maintain Retrieval Augmented Generation (RAG) pipelines (where applicable), embeddings, prompt templates, structured outputs and tool/function calling.</li><li>Contribute to evaluation approaches: create test cases, regression suites, and help maintain “golden” datasets.</li><li>Apply prompt/version control to ensure changes are traceable, testable and cost aware.</li><li>Implement guardrails to reduce failure modes (e.g. prompt injection, data leakage, unsafe outputs).</li><li>Work within secure by design and privacy by design practices; follow approved data handling and access controls.</li><li>Contribute to logging, monitoring and basic operational support; participate in incident fixes when required.</li><li>Communicate clearly about progress, risks, unknowns and trade offs; ask for help early when blocked.</li><li>Implement <strong>cost efficient engineering patterns</strong> (e.g. caching, batching, model routing, token efficient prompts) in line with Technical Lead guidance.</li></ul><p><strong>2. Operating across three modes:</strong></p><p>AI Developers are expected to operate fluidly across:</p><ul><li><strong>Discovery partner</strong> – assess feasibility, identify data constraints, rapidly prototype and estimate cost/effort.</li><li><strong>Builder</strong> – develop prompts, agents, workflows, integrations and evaluation frameworks to Technical Lead standards.</li><li><strong>Embedded specialist</strong> – support deployment, observe real usage and metrics (including efficiency and cost), iterate based on live feedback, and feed learning back into the squad.</li></ul><p><strong>3. Specialization with overlap:</strong></p><p><strong>AI Developer 1 – Generative Focus:</strong></p><ul><li><strong>Primary strength:</strong> Generative AI &amp; prompt engineering.</li><li><strong>Leads on:</strong> Large Language Model selection, prompt design, output evaluation, fine tuning decisions, model evaluation frameworks.</li><li><strong>Owns:</strong> Retrieval Augmented Generation(RAG) architecture for knowledge intensive use cases.</li><li><strong>Supports:</strong> Agentic builds as prompt and model specialist.</li></ul><p><strong>AI Developer 2 – Agentic &amp; Integration Focus:</strong></p><ul><li><strong>Primary strength:</strong> Agentic systems &amp; integration.</li><li><strong>Leads on:</strong> Agentic workflow design; orchestration frameworks (e.g. LangChain, AutoGen, CrewAI or equivalent<a href=\"#_msocom_1\">[AR1]</a>&nbsp;); monitoring, logging and observability implementation.</li><li><strong>Owns:</strong> Integration architecture – connecting AI systems to existing data sources, APIs / MCP<a href=\"#_msocom_2\">[AR2]</a> &nbsp;and business applications.</li><li><strong>Supports:</strong> Generative AI builds as integration and systems specialist.<a href=\"#_msocom_3\">[AR3]</a>&nbsp;</li></ul><p><strong>Quality &amp; safety mindset:</strong></p><ul><li>Build evaluation and testing into the solution from the outset, not as an afterthought.</li><li>Treat prompts, configurations and orchestration logic as first class, testable artefacts.</li><li>Flag technical, safety and cost risks immediately and propose pragmatic mitigations.</li><li>Document prompts, configurations, integrations and test results in a way that supports reuse, audit and maintenance.</li></ul><p><strong>SFIA alignment (skills and target levels):</strong></p><p>Target level: <strong>SFIA Level 4–5</strong> (delivery with ownership of components; contribution to standards).</p><ul><li>PROG — Programming/software development (Level 5)</li><li>SLEN — Systems and software lifecycle engineering (Level 4–5)</li><li>SINT — Systems integration and build (Level 3–4), where applicable</li><li>TEST — Functional testing (Level 3–4) and/or MEAS — Measurement (Level 5) for evaluation</li><li>REQM — Requirements definition and management (Level 4)</li><li>SCTY / INAS — Information security / information assurance (Level 4)</li><li>METL — Methods and tools (Level 4)</li><li>AIDE — Artificial intelligence (AI) and data ethics (Level 5)</li></ul><p><strong>Technology Stack Requirements for the Squad:</strong></p><ul><li>Generative Ai LLM (Open Ai, Gemini, Anthropic etc…)</li><li>Microsoft, Google / Alphabet architecture ecosystem</li></ul><p><strong>Cloud &amp; runtime:</strong></p><ul><li>Enterprise cloud platform (e.g. Azure, AWS, GCP as per organization standard).</li><li>Containerization and orchestration (e.g. Docker, Kubernetes, or managed equivalents).</li></ul><p><strong>Language &amp; frameworks:</strong></p><ul><li>Familiarity with modern backend frameworks and API development.</li></ul><p><strong>Generative AI &amp; LLMs:</strong></p><ul><li>Access through enterprise approved providers (e.g. Azure Open AI, OpenAI, Anthropic, or equivalent), using:&nbsp;</li><li>Chat/completions APIs</li><li>Function/tool calling</li><li>Model configuration for cost and performance</li><li>Prompt engineering, including:&nbsp;</li><li>System prompts, chained prompts, tool augmented prompts</li><li>Structured outputs (e.g. JSON schemas)</li></ul><p><strong>Retrieval &amp; knowledge:</strong></p><ul><li>RAG pipelines, including:&nbsp;</li><li>Vector stores / embeddings (e.g. Azure AI Search, Elasticsearch, Pinecone, or equivalent).</li><li>Document ingestion, chunking, metadata management.</li></ul><p><strong>Agentic orchestration:</strong></p><ul><li>One or more orchestration / agent frameworks, such as LangChain, AutoGen, Semantic Kernel, CrewAI, or in house frameworks depending on the need.</li><li>Workflow engines / state machines where appropriate.</li></ul><p><strong>Automation &amp; integration:</strong></p><p><strong>Enterprise integration:</strong>&nbsp;</p><ul><li>REST/gRPC APIs, webhooks, queues and event buses. [Not sure what is our current standard]</li><li>Enterprise integration platforms (e.g. iPaaS, ESB, or cloud native integration services).</li></ul><p><strong>Workflow / process automation:</strong>&nbsp;</p><ul><li>Low code workflow tools (e.g. Power Automate, Logic Apps, or similar) where appropriate.</li><li>RPA platforms (e.g. UiPath, Blue Prism, Automation Anywhere) where legacy UI automation is required. [Not sure what is our current standard]</li></ul><p><strong>Data sources:</strong>&nbsp;</p><ul><li>Databases, data warehouses/lakes, line of business systems (CRM, policy/claims platforms, EHR etc., depending on context).</li></ul><p><strong>Observability &amp; operations:</strong></p><ul><li>Logging and metrics platforms (e.g. Application Insights, ELK/EFK stack, Prometheus/Grafana [Not sure what is our current standard] ).</li><li>Dashboards and alerts for:&nbsp;</li><li>Quality metrics (accuracy, error types, drift signals).</li><li>Usage and adoption metrics.</li><li>Cost (tokens, API calls, infrastructure).</li></ul><p><strong>Security, privacy &amp; governance:</strong></p><ul><li>Identity and access management, secrets management.</li><li>Encryption at rest and in transit.</li><li>Data classification and data handling controls.</li><li>Support for DPIA / risk assessments and audit logging.</li></ul>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/bupa/generative-and-agentic-ai-developers-gurgaon-T500-26671","created_at":"2026-06-12T19:28:09.458660+05:30","updated_at":"2026-07-25T11:04:47.917840+05:30","title_alias_1":"Generative and Agentic AI Developers","slug":"generative-and-agentic-ai-developers-gurgaon-T500-26671","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":10,"max_experience_years":15,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-26671","external_id":38691,"external_job_code":"BUPA057","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-06-11T14:12:43.884703+05:30","published_at":"2026-06-12T19:28:08.323418+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-26671.png","role_summary":null,"syndication_control":true,"syndication_status":"in_progress","syndication_job_title_alias":"[]","sourcing_requirements_updated_at":null,"t500_sourcing_control":true,"status":"open","job_redirection_url":null,"is_external_job":false,"is_leadership_job":false,"leadership_confidentiality_level":null,"pricing_type":null,"is_auto_apply_eligible":false,"external_apply_url":null,"ats_provider":null,"apply_timeout_seconds":null,"recruiter":"1154daea-f24c-4f7f-aad6-494543ee6112","category":47,"job_sub_category":54,"role":null,"job_function":868,"job_sub_function":1523,"naukri_industry":null,"naukri_functional_area":null,"naukri_role":null,"role_category":542,"linkedin_industry":null,"syndication_partners":["42df20d5-42f7-4c82-88fc-1bf5ce994984"],"candidate_job_status":null,"candidate_job_id":null,"mettl_assessment_to_be_taken":false,"company_font_data":{"font-family":"Montserrat","url":"https://fonts.googleapis.com/css2?family=Montserrat:ital,wght@0,100;0,200;0,300;0,400;0,500;0,600;0,700;0,800;0,900;1,100;1,200;1,300;1,400;1,500;1,600;1,700;1,800;1,900&display=swap"}}