Manager - FinTech

National%20institute%20for%20smart%20government; Khordha; Remote; INR 1,800,000 - 3,000,000; Full time

Job summary

National Institute for Smart Government is seeking a Forward Deployed AI / Software Engineer to design and deliver AI-powered applications for clients.

You will translate business problems into technical solutions, build agentic workflows, and integrate with enterprise systems, APIs, cloud platforms, and data pipelines. The role emphasizes collaboration with product, engineering, data, security, and client teams, and requires strong debugging and communication.

Qualifications

• Experience delivering production-grade software.
• Proficiency in Python, TypeScript, or similar languages.
• Hands-on AI-powered applications or agentic systems experience.
• Understanding of LLMs, prompts, context management, tool use, memory, model selection.
• Experience with AI agents/agentloops including planning and execution.
• Knowledge of workflow orchestration, graphs, state machines, multi-step AI workflows.
• Experience with APIs, databases, cloud infrastructure, modern software practices.
• Experience taking problems from discovery to production.
• Ability to translate business requirements to technical solutions.
• Strong debugging, problem-solving, communication, ownership.
• Comfortable working remotely with CST hours.

Responsibilities

• Work with clients to understand business requirements and environments.
• Translate problems into technical requirements, designs, prototypes and production apps.
• Build AI-powered apps, agentic workflows, APIs, data pipelines, full-stack solutions.
• Design systems around AI models including tools, memory, runtime controls and observability.
• Build and refine agent workflows covering planning, tool use, execution and recovery.
• Develop workflow orchestration using graphs and state machines.
• Create evaluation mechanisms for AI quality, reliability, latency and cost.
• Integrate AI solutions with enterprise apps, APIs, databases, cloud platforms.
• Troubleshoot AI system issues like hallucinations and prompt-injection risks.
• Collaborate with product, engineering, data, security and client teams to production.
• Communicate technical decisions and risks clearly to stakeholders.

Skills

Production-grade software

Python/TypeScript

AI-powered apps

LLMs prompts context management

AI agents/agentloops

Workflow orchestration

APIs, databases, cloud

Discovery to production

Client collaboration

Debugging & ownership

Remote CST hours

Tools

Docker

Kubernetes

Infrastructure as Code

CI/CD

Cloud platforms (AWS/Azure/GCP)

Job description

Job Summary

Position: Forward Deployed AI / Software Engineer

Responsibilities

• Work directly with clients to understand business requirements, workflows, technical environments, and operational challenges.
• Translate ambiguous business problems into technical requirements, solution designs, prototypes, and production-ready applications
• Build AI-powered applications, agentic workflows, APIs, data pipelines, and full-stack solutions
• Design and implement systems around AI models, including tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms.
• Build and refine agent workflows covering planning, tool selection, execution, observation, recovery, and termination.
• Develop workflow orchestration using graphs, state machines, and multi-step execution patterns
• Build evaluation mechanisms to measure AI application quality, reliability, task completion, latency, and cost.
• Integrate AI solutions with enterprise applications, APIs, databases, cloud platforms, and third-party services.
• Troubleshoot AI-system issues such as hallucinations, context loss, unreliable tool calls, looping, and prompt-injection risks.
• Collaborate with product, engineering, data, security, and client teams to take solutions from discovery to production.
• Clearly communicate technical decisions, risks,limitations, and trade-offs to technical and non-technical stakeholders.

Required Skills

• Strong professional experience building and deploying production-grade software.
• Strong proficiency in Python, TypeScript, or a similar programming language.
• Hands-on experience building AI-powered applications or agentic systems.
• Practical understanding of LLMs, prompts, context management, tool use, structured outputs, memory, and model selection.
• Experience building or working with AI agents/agentloops involving planning, tool use, execution, observation, and recovery.
• Understanding of workflow orchestration, graphs, state machines, or multi-step AI workflows.
• Experience working with APIs, databases, cloud infrastructure, and modern software engineering practices.
• Experience taking a problem from discovery to prototype to validation to production.
• Ability to work directly with clients or business stakeholders and translate business requirements into technical solutions.
• Strong debugging, problem-solving, communication, and ownership skills.
• Comfortable working remotely with teams operating in CST business hours.

Preferred (Bonus) Skills

• Experience with AI agent frameworks, workflow engines, coding agents, or custom AI orchestration systems.
• Experience with RAG, embeddings, vector databases/search, knowledge graphs, fine-tuning, or model routing.
• Experience with AI evaluation, regression testing, human evaluation, or production monitoring.
• Familiarity with AI observability, tracing, token/cost analysis, latency monitoring, and quality dashboards.
• Experience building multi-agent or multi-model systems.
• Understanding of AI security risks including prompt injection, data leakage, excessive agency, and insecure tool usage.
• Experience with AWS, Azure, or Google Cloud.
• Experience with Docker, Kubernetes, Infrastructure as Code, and CI/CD.
• Experience in consulting, solutions engineering, professional services, or other customer-facing technical roles.
• Experience working with complex enterprise environments.