{"id":2771064,"url":"https://alion.io/job/vlink-inc-senior-software-development-engineer-artificial-intelligence","title":"Senior Software Development Engineer - Artificial Intelligence","company":{"id":2312308,"name":"VLink Inc.","domain":"vlinkinfo.com","url":"https://alion.io/company/vlinkinfo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenShift","optional":true}],"status":"live","first_seen_at":"2026-09-10T06:19:48Z","employer_posted_date":null,"last_verified_at":"2026-09-10T06:19:48Z","board_verified":false,"closed_at":null,"days_open":37,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":37},"description":"Position Description :\n\nWe are looking for a Lead AI Developer to join our team. 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This role requires deep hands-on expertise in Python, Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and agent-based architectures.\n\nResponsibilities :\n\n- Lead the design and development of scalable Generative AI solutions using LLMs\n\n- Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems\n\n- Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture\n\n- Mentor and guide developers on GenAI patterns, tools, and best practices\n\n- Develop end-to-end AI solutions using Python\n\n- Design, test, and optimize prompt engineering strategies\n\n- Build and manage embeddings, vector search, and semantic retrieval pipelines\n\n- Develop applications using LangChain and monitor, evaluate, and debug workflows using LangSmith\n\n- Integrate LLMs with enterprise systems, APIs, and structured/unstructured data sources\n\n- Implement agent-based and multi-agent workflows for task orchestration and automation\n\n- Work with multimodal models involving text, documents, and images\n\n- Work closely with the AI CoE to align on AI frameworks, reusable components, and architectural standards\n\n- Contribute to enterprise GenAI accelerators, reference architectures, and best practices\n\n- Support governance, security, responsible AI, and compliance requirements\n\n- Share learnings, patterns, and improvements across teams to drive consistency and adoption\n\n- Apply deep understanding of LLM capabilities, limitations, and optimization techniques\n\n- Implement techniques such as RAG, tool/function calling, memory, and agents\n\n- Evaluate and recommend appropriate models (OpenAI, Azure OpenAI, open-source models)\n\n- Ensure performance, scalability, cost optimization, and reliability of AI solutions\n\nMust-Have Skills :\n\n- Strong programming experience in Python and API development using FastAPI or similar frameworks.\n\n- Hands-on experience with OpenAI, Azure 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