AI Engineer Agent Development

Overview

About the job:

Job Title: AI Engineer, Agent Development
Location: [On-site/Remote/Hybrid]
Employment Type: [Full-time/Contract]
About the Role

We are looking for an AI Engineer specialized in agent development to design, build, and scale intelligent autonomous systems. This role will focus on LLM-powered agents, multi-step reasoning, tool integrations, and orchestration frameworks that allow AI systems to interact with APIs, data sources, and humans.

You will be at the forefront of shaping how generative AI is applied in production developing robust, safe, and scalable agentic architectures.

Key Responsibilities:

1. Design, develop, and deploy AI agents capable of autonomous reasoning, planning, and multi-step task execution.
2. Implement tool-use, API integration, memory, and retrieval-augmented generation (RAG) within agents.
3. Develop workflows for multi-agent collaboration, delegation, and orchestration.
4. Fine-tune and optimize LLMs and agent frameworks (e.g., LangChain, LlamaIndex, Haystack, Semantic Kernel, custom implementations).
5. Research and apply methods for reflection, error recovery, and self-correction in agents.
6. Integrate agents into production environments, ensuring scalability, security, and observability.
7. Work closely with product teams to design use cases (copilots, task automation, reasoning systems, etc.).
8. Stay updated with emerging approaches in autonomous AI, multi-modal agents, and reinforcement learning for LLMs.

Who can apply:

Only those candidates can apply who:

1. have minimum 1 years of experience
2. are Computer Science Engineering students

Salary:

₹ 5,00,000 /year

Experience:

1 year(s)

Deadline:

2025-12-03 23:59:59

Skills required:

HTML, JavaScript, Python, Django, Node.js, PostgreSQL, Golang and DevOps

Other Requirements:

Required qualifications:

1. Bachelor’s/master’s in computer science, AI, data science, or related field.

2. Strong programming experience in Python (TypeScript/Go a plus).

3. Hands-on experience with LLM orchestration frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).

4. Knowledge of retrieval-augmented generation (RAG), vector databases (Pinecone, Weaviate, Milvus, FAISS).

5. Experience with prompt engineering, fine-tuning, and LLM APIs (OpenAI, Anthropic, Mistral, LLaMA, etc.).

6. Familiarity with MLOps for LLMs — model deployment, monitoring, evaluation, and feedback loops.

7. Strong problem-solving and system design skills.

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Preferred/nice-to-have:

1. Experience with autonomous agent frameworks (AutoGPT, BabyAGI, CrewAI, or custom).

2. Research or practical work on reflection, planning, and reasoning in LLMs.

3. Experience with multi-agent simulations, emergent behavior, or reinforcement learning.

4. Knowledge of safe AI practices — alignment, hallucination control, and red-teaming agents.

5. Open-source contributions in the agentic AI ecosystem.

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What we offer:

1. Opportunity to lead next-generation agent development projects.

2. Competitive pay, benefits, and growth opportunities.

3. Work with a highly innovative team pushing the boundaries of generative AI.

4. A culture that encourages experimentation, learning, and applied research.

About Company:

S7works gets the work done while you build your A-team. We spin up high-quality software engineering teams quickly and at scale to enhance your growth and productivity. Engineers work out of our offices in India and Atlanta, the USA to where we ensure high-quality, Silicon Valley level work products. With our training program, you can reach great heights in your career. We provide expert career guidance to all aspirants.