Artificial Intelligence Engineer

Company: Kodiva.ai

Website: Visit Website

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Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Seed

Industry: Information Technology

Salary Range: ₹ 6-15 Lacs PA

Job Description We're looking for an AI Engineer who can build end-to-end — from designing intelligent agent workflows to shipping the full-stack applications that bring them to life. You'll work across the stack, integrating LLMs and AI agents into real products that users rely on. This is a hands-on role for someone who enjoys both the AI/ML side and the engineering rigor of building production systems.

What You'll Do

• Design, build, and deploy AI agents and agentic workflows (tool use, function calling, multi-step reasoning, orchestration).
• Develop full-stack applications — backend services, APIs, and responsive front-end interfaces — that integrate AI capabilities.
• Work with LLMs and frameworks (e.g., LangChain, LlamaIndex, or similar) to build retrieval-augmented generation (RAG), prompt pipelines, and evaluation systems.
• Integrate third-party APIs, vector databases, and model providers (OpenAI, Anthropic, open-source models) into production systems.
• Optimize for latency, cost, reliability, and accuracy across AI features.
• Collaborate with product and design teams to translate requirements into working features.
• Write clean, testable, well-documented code and participate in code reviews.

What We're Looking For

• 2–5 years of professional software engineering experience, with hands-on work building AI/LLM-powered features.
• Demonstrated experience building AI agents or agentic systems (orchestration, tool integration, autonomous workflows).
• Strong full-stack skills: proficiency in a backend language (Python, Node.js, Go, etc.) and a modern front-end framework (React, Next.js, Vue, etc.).
• Solid understanding of working with LLM APIs, prompt engineering, and evaluation/testing of AI outputs.
• Experience with databases (SQL/NoSQL) and familiarity with vector stores (Pinecone, Weaviate, pgvector, etc.).
• Comfortable with cloud platforms (AWS, GCP, or Azure) and CI/CD practices.
• Strong problem-solving skills and the ability to own features from concept to production.

Nice to Have

• Experience with model fine-tuning, embeddings, or open-source model deployment.
• Familiarity with containerization (Docker, Kubernetes).
• Contributions to open-source AI projects or a portfolio of agent-based applications.