Senior Software Engineer_AI
Niharika Chakravarty · Remote · remote · Posted 37d ago
Undisclosed6–11 yrsfulltimeSourced from
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About this role
Senior Software Engineer
Who Were Looking For
Were looking for a Senior Software Engineer with 5+ years of experience who can build and deploy production-grade AI solutions. The ideal candidate combines strong Python and software engineering fundamentals, hands-on Generative AI experience, and excellent communication skills.
What Youll Do
- Understand business problems and design effective AI solutions.
- Build and deploy LLM, RAG, and Agentic AI applications for enterprise use cases.
- Develop intelligent agents using frameworks such as LangChain, LangGraph, or CrewAI.
- Build RAG pipelines using vector databases such as Pinecone, Weaviate, or FAISS.
- Develop scalable Python APIs and backend services.
- Work with customer data and technical teams to integrate AI solutions into production environments.
- Manage AI solutions end-to-end — from data preparation and development to deployment, monitoring, and optimization.
- Collaborate with Engineering, Product, and Solutions teams and provide product feedback.
- Follow best practices for code quality, scalability, performance, and reliability.
What You Bring
- 5+ years of hands-on experience in software engineering, AI/ML engineering, or backend engineering.
- Strong Python skills and experience building scalable APIs and backend services.
- Hands-on experience with LLMs, Generative AI, RAG, and/or AI Agents.
- Experience with LLM platforms such as GPT, Gemini, or similar.
- Hands-on experience with LangChain, LangGraph, CrewAI, or similar agentic frameworks.
- Experience with vector databases and retrieval systems.
- Strong understanding of Machine Learning/Deep Learning and production AI systems.
- Experience working with customers or enterprise stakeholders.
- Excellent communication and presentation skills.
- Ability to work independently, manage multiple priorities, and operate comfortably in a fast-paced environment.
Good to Have
- Experience with AWS, Azure, or GCP.
- MLOps/production AI experience.
- Experience in AI startups, product companies, or AI services environments.
- Experience building customer-facing AI products.
Interested candidates please send your cv at [email removed]
Sourced from naukri
Skills
langchangAimlRetrieval Augmented GenerationMCPBackend EngineerLanggraphGenerative Ai