Entry-Level Computer Scientist – AI Agent Specialist

The Asia Group, LLC is now accepting applications for an Entry-Level Computer Scientist – AI Agent Specialist. to joijn our Gurugram office.
 
Headquartered in Washington, D.C., The Asia Group (“TAG”) is a strategic and capital advisory firm that positions clients – ranging from Fortune 100 multinationals to innovative startups – for success in established and emerging markets across the Indo-Pacific region. Our diverse team possesses decades of government and private sector experience with a work ethos that emphasizes teamwork, collegiality, creativity, entrepreneurialism, and mentorship. 
 
TAG’s Global Centre of Excellence serves as the firm’s strategic hub in Gurgaon, leading firm‑wide efforts to identify, develop, and maintain the operational talent, corporate infrastructure, and service innovation needed to enable the firm’s ambitious growth agenda. TAG GCE staff work closely with TAG’s HQ, regional management, and global client servicing teams to support existing operational and client servicing initiatives as well as to identify and build new capabilities.
 
The Entry-Level Computer Scientist – AI Agent Specialist will support TAG by designing, building, and evaluating intelligent AI agent systems that automate complex workflows and decision-making processes. This role is an excellent opportunity for a recent graduate looking to gain hands-on experience in a fast-paced environment at the frontier of applied AI. The successful candidate will have a strong foundation in software engineering and AI systems, along with a genuine curiosity for the rapidly evolving field of agentic AI.
 
This position requires working shift hours aligned to U.S. Eastern Time. Candidates must be available and responsive during core overlap hours of 8:00 AM–12:00 PM U.S. Eastern Time each business day (evening hours in India). Additional working hours will be scheduled to meet business needs, with occasional flexibility for urgent priorities. 

All interested candidates must submit a cover letter, resume, and references via the application portal on our website. Due to the volume of applications received, responses from our recruiting team may be delayed. No phone calls or emails and whatsApp messages, please. 
* Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; or equivalent experience. 
* Experience: Demonstrated internship or project experience in software development, NLP, machine learning, or building applications with large language models. 
* Technical Skills: Proficiency in Python for software and AI/ML development. 
* Familiarity with LLM concepts including prompt engineering, function calling, tool use, and agentic reasoning patterns (e.g., ReAct, chain-of-thought). 
* Exposure to agentic frameworks and orchestration libraries (e.g., LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI). 
* Experience with LLM APIs (e.g., OpenAI API, Anthropic API, OpenRouter, Hugging Face). 
* Familiarity with RAG architectures and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). 
* Experience with SQL and structured data querying. 
* Proficiency with version control systems such as Git and GitHub. 
* Solid understanding of software engineering principles, data structures, and algorithms. 
* Knowledge of cloud platforms (AWS, GCP, or Azure) a plus but not required. 
* Preferred: Experience with local LLM deployment or fine-tuning using PEFT or LoRA.   

Soft Skills:

* Eager to learn and stay current with a rapidly changing AI landscape. 
* Ability to work collaboratively in a cross-functional team environment. 
* Strong analytical and systems-thinking skills, with comfort navigating ambiguous problem spaces. 
* Effective communication skills, with the ability to explain technical concepts to non-technical stakeholders. 
* Ability to adapt to change and thrive in a fluid, fast-moving environment

We value professionals who are proactive in exploring new ways to work smarter. Ideal candidates will be comfortable using artificial intelligence tools — or excited to learn how — to increase efficiency, enhance analysis or deliverables, and generate innovative solutions. Familiarity with generative AI platforms or a growth mindset toward emerging technologies is a plus. 

Candidates must be eligible to work in India and are expected to work in-person at the TAG GCE Gurugram office five days per week. 
* Assist in the design and development of AI agent architectures, including single-agent and multi-agent systems capable of reasoning, planning, and tool use. 
* Develop and maintain tool integrations — including APIs, databases, and external services — that agents use to interact with real-world systems. 
* Evaluate agent performance by designing test cases, tracking key metrics (e.g., task completion rate, reasoning accuracy, hallucination rate), and recommending architectural or prompt-level improvements. 
* Support prompt engineering and system instruction development to shape agent behavior, tone, decision logic, and safety guardrails. 
* Conduct research on emerging agentic frameworks, LLM capabilities, and best practices (e.g., ReAct, chain-of-thought, function calling, memory architectures) to inform the team's agent strategy. 
* Collaborate with colleagues to integrate agent components with cloud infrastructure, internal data systems, and front-end interfaces. 
* Clean, structure, and manage knowledge bases, vector stores, and data pipelines that underpin agent retrieval and reasoning. 
* Document agent architectures, maintain code quality, and contribute to internal knowledge-sharing and technical reviews. 
* Candidate must be able to provide 2–3 days per week of partial overlap (2–3 hours) with U.S.-based team members  
* Regular syncs (2–3 times per week) with product and design 
* Collaborate with U.S.-based design and engineering teams during overlap hours 
* Work primarily asynchronously outside of overlap windows

TAG provides competitive benefits with regular training opportunities available to its employees.