AI Engineer – Agentic Systems

We are looking for an experienced AI Engineer who specializes in building agentic systems from task-orchestration agents to workflow automation agents, retrieval-augmented agents, research/coding agents, and domain-specific autonomous agents.

This is a full-stack AI engineering role, ideal for someone who loves shipping: rapid MVPs → stable production, high ownership, and fast problem-solving. Candidates must have built and deployed at least two AI agents in production in the past 12 months and be comfortable operating in high-velocity environments.

What You’ll Do1. Build & Deploy AI Agents

• Design, build, and ship agentic workflows across multiple domains (research agents, coding assistants, reasoning agents, scheduling agents, analytics agents, workflow automation bots, etc.).
• Own the end-to-end lifecycle: data ingestion → reasoning → action taking → evaluation → monitoring.
• Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration.

2. Agent Architecture & Infrastructure

• Architect systems using modern agent stacks (LangChain, LlamaIndex, OpenAI Assistants, Model Context Protocol (MCP), custom orchestration).
• Build robust retrieval pipelines (RAG), vector embeddings, caching layers, and knowledge-grounding systems.
• Integrate agents with external tools and systems (APIs, SaaS apps, CRMs, internal services, databases, messaging platforms).

3. Productionization

• Deploy agents as microservices with proper observability, evals, guardrails, fallbacks, and monitoring.
• Optimize inference cost, latency, accuracy, and task-completion rates.
• Run systematic evaluations: function calling accuracy, groundedness, hallucinations, long-context stability.

4. Collaboration & Product Work

• Work closely with product managers, domain experts, and engineers to translate business workflows into agent behaviors.
• Create reusable frameworks and libraries to accelerate subsequent agent builds.
• Document and evangelize agent best practices internally.

What You Bring

Required: 4–7 years of hands-on experience in AI/ML engineering.

• Successful deployment of at least two production AI agents in the past 12 months (not prototypes).
• Expertise in: LLMs: OpenAI, Anthropic, Gemini, Llama, DeepSeek
• Agent frameworks: LangChain, OpenAI Assistants, custom orchestration, state machines
• Retrieval (RAG), vector DBs (Pinecone, Weaviate, Chroma, PGVector)
• API integration & tool-use architectures
• Python/Node for server-side agent logic
• Microservice deployments (Docker, Kubernetes, CI/CD)
• Strong debugging skills across distributed systems, prompt engineering, inference optimization, and agent reasoning traces.
• Comfortable building MVPs in days and scaling them to stable production within weeks/months.

Nice to Have

• Experience building MCP servers or integrating with MCP tools.
• Experience with structured function-calling workflows (JSON schema, tool plans, agent graphs).
• Background in building internal agent frameworks or automation engines.
• Experience designing evaluation frameworks for agents (task completion metrics, scenario tests).
• Familiarity with workflow engines (Temporal, Airflow, Prefect).

Success Looks Like

In your first 3–6 months, you will:

• Build and deploy multiple agents that solve real business workflows.
• Improve accuracy, response quality, and reliability of existing agents.
• Establish a reusable internal agent framework to increase build velocity.
• Contribute significantly to cost, latency, and performance improvements.
• Become a core owner of agentic architecture and experimentation.

Why Join Us

• Work directly with founders and senior leaders driving AI-first transformation.
• Build real agents used daily — not research prototypes.
• High autonomy + high impact environment.
• Opportunity to shape the foundation of agentic systems across the org.
• Competitive compensation + massive growth opportunity.

How to Apply

Send your GitHub, agent demos, or examples of deployed agents to: jobs@vikara.ai

*Required: Please create your profile on Aithors.ai to process your application

Job Type: Full-time

Pay: ₹2,500,000.00 - ₹3,500,000.00 per year

Benefits:

• Work from home