Urgent Hiring | AI Engineer | Noida (5 Days WFO)/remote

Vinove Software; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Vinove Software is seeking an experienced engineer to build AI-powered applications and agentic systems for clients in the United States. You will design end-to-end solutions, integrate with APIs and cloud platforms, and iterate from discovery to production.

Role requires strong Python/TypeScript skills, experience with AI workflows, and the ability to translate business requirements into technical designs. Remote-friendly with CST-hours collaboration.

Qualifications

• Production-grade software experience.
• Proficiency in Python, TypeScript, or similar languages.
• Hands-on AI-powered applications or agentic systems experience.
• Understanding of LLMs, prompts, memory, tool use, outputs.
• Experience with planning, tool use, execution, observation, recovery in AI agents.
• Knowledge of workflow orchestration, graphs, state machines, multi-step AI workflows.
• APIs, databases, cloud infrastructure, and modern software practices.
• Ability to take problems from discovery to production.

Responsibilities

• Understand business requirements, workflows, and environments to design solutions.
• Translate problems into technical requirements, designs, prototypes, and production-ready apps.
• Build AI-powered applications, agentic workflows, APIs, data pipelines, and full-stack solutions.
• Design systems around AI models, including tools, context, memory, permissions, observability, and feedback.
• Build and refine agent workflows covering planning, tool use, execution, observation, recovery, and termination.
• Develop workflow orchestration using graphs, state machines, and multi-step patterns.
• Build evaluation mechanisms for quality, reliability, latency, and cost of AI applications.
• Integrate AI with enterprise apps, APIs, databases, cloud platforms, and third-party services.
• Troubleshoot AI-system issues like hallucinations, context loss, tool call failures, looping, and prompt-injection risks.
• Collaborate with product, engineering, data, security, and client teams from discovery to production.
• Communicate decisions, risks, limitations, and trade-offs to technical and non-technical stakeholders.

Skills

Production-grade software

Python/TypeScript

AI-powered apps

LLMs knowledge

Agent frameworks

Workflow orchestration

APIs & cloud

Discovery to prod

Client collaboration

Remote CST hours

Tools

Docker

Kubernetes

CI/CD

AWS

Google Cloud

Job description

Key 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, runtimecontrols, 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, andcost.
• Integrate AI solutions with enterprise applications, APIs, databases, cloud platforms, and third-partyservices.
• Troubleshoot AI-system issues such as hallucinations, context loss, unreliable tool calls, looping, andprompt-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-technicalstakeholders.

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 aagents/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 intotechnical 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 orchestrationsystems.
• Experience with RAG, embeddings, vector databases/search, knowledge graphs, fine-tuning, or modelrouting.
• 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 technicalroles.
• Experience working with complex enterprise environments.