Join Our Trailblazing Team at Neuramonks!
At Neuramonks, our innovative teams assist businesses make sense of AI. Whether it is turning research into a working product or making an intricate system effortless to use, our teams build real AI-powered solutions that solve real challenges.
As an AI solutions development company, we have worked with early-stage startups, large enterprises, and academic teams. We have helped them move from project ideas to working AI systems successfully. Our team brings deep technical skill sets and a highly practical mindset.
Career Opportunities at Neuramonks
Forward-Deployed Engineer
Location: Gota, Ahmedabad (Work from Office)
Experience: 3–5 Years
Employment Type: Full-Time
Education required: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.(Must be completed)
Role Objective:
Design, develop, deploy, and optimize end-to-end AI solutions that solve real business challenges while ensuring scalable, high-quality, and production-ready outcomes.
Key Responsibilities:
- AI/ML Fundamentals: Strong understanding of Machine Learning, Deep Learning, and Generative AI concepts.
- Programming: Proficiency in Python with experience in FastAPI, Flask, and REST API development.
- Large Language Models (LLMs): Hands-on experience with OpenAI, Gemini, Claude, Llama, or similar models.
- Prompt Engineering & RAG: Experience in designing prompts and building Retrieval-Augmented Generation (RAG) applications.
- AI Agents & Automation: Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, or similar.
- Backend Development: Experience in developing scalable APIs and integrating AI solutions with enterprise applications.
- Databases: Familiarity with SQL, NoSQL, and Vector Databases such as Pinecone, ChromaDB, Qdrant, or Weaviate.
- Cloud & Deployment: Understanding of Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
- Solution Architecture: Ability to design scalable, secure, and production-ready AI systems.
- Client Management: Strong communication skills with the ability to confidently interact with global clients, gather requirements, and present technical solutions.
- English Communication: Excellent verbal and written English communication skills.
- Project Management: Ability to manage multiple client projects simultaneously while maintaining quality and meeting deadlines.
- Multitasking & Ownership: Strong multitasking abilities with a proactive, self-driven, and ownership-oriented mindset.
- Problem Solving: Excellent analytical thinking, debugging, and performance optimization skills.
- Team Collaboration: Ability to work effectively with cross-functional teams in a fast-paced environment.
- Continuous Learning: Passion for emerging AI technologies and staying updated with the latest industry advancements
Roles & Responsibilities:
- Understand client business challenges and translate them into AI solutions.
- Design end-to-end AI/ML system architectures.
- Build and deploy AI applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
- Develop scalable backend services using Python and FastAPI/Flask.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines.
- Build AI agents and workflow automation using modern AI frameworks.
- Integrate AI models with enterprise applications, APIs, and databases.
- Optimize prompts, model performance, latency, and operational cost.
- Deploy AI applications on cloud platforms using Docker and Kubernetes.
- Monitor production systems and continuously improve reliability and performance.
- Collaborate with Product, Engineering, and Customer Success teams to ensure successful project delivery.
- Troubleshoot production issues and provide technical support during client implementations.
- Stay updated with the latest advancements in AI, LLMs, and emerging technologies.
Sr. Generative AI Engineer
Location: Gota, Ahmedabad (Work from Office)
Experience: 2–3 Years
Employment Type: Full-Time
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- Experience building and deploying production-grade Generative AI applications.
- Familiarity with MCP (Model Context Protocol), AI evaluation frameworks, observability tools, and MLOps.
- Contributions to open-source projects, AI research, or technical publications are a plus.
Role Objective
Design, develop, and optimize cutting-edge Generative AI solutions that solve complex business challenges while delivering scalable, secure, and production-ready AI applications.
Key Responsibilities
- Design, develop, and deploy Generative AI and LLM-based applications.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
- Develop AI agents and multi-agent workflows using modern AI frameworks.
- Integrate LLMs with enterprise applications, APIs, databases, and external tools.
- Fine-tune prompts and optimize model performance, latency, cost, and accuracy.
- Develop scalable backend services using Python, FastAPI, or Flask.
- Implement vector search solutions using modern vector databases.
- Deploy AI applications using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
- Collaborate with Product, Engineering, and Business teams to deliver AI-driven solutions.
- Mentor junior engineers through code reviews, technical guidance, and best practices.
- Evaluate and adopt emerging AI technologies, frameworks, and research.
- Ensure AI solutions follow security, scalability, and performance best practices.
Key Skills
- Programming: Advanced Python programming and API development.
- Generative AI: Strong knowledge of LLMs, Prompt Engineering, RAG, AI Agents, and Agentic AI.
- AI Frameworks: Experience with LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or similar frameworks.
- LLMs: Hands-on experience with OpenAI, Gemini, Claude, Llama, Mistral, or equivalent foundation models.
- Databases: SQL, NoSQL, and Vector Databases (Pinecone, Qdrant, ChromaDB, Weaviate, Milvus).
- Backend Development: FastAPI, Flask, REST APIs, and microservices.
- Cloud & DevOps: Docker, Kubernetes, Git, CI/CD, AWS, Azure, or GCP.
- System Design: Ability to design scalable, production-ready AI architectures.
- Performance Optimization: Experience optimizing AI applications for latency, cost, scalability, and reliability.
- Leadership: Ability to mentor junior engineers and drive technical excellence.
- Communication: Excellent verbal and written English communication skills with the ability to explain technical concepts to clients and stakeholders.
- Problem Solving: Strong analytical thinking, debugging, and decision-making skills.
Life at Neuramonks!
At Neuramonks, culture isn't just a set of principles - it is the heartbeat of our company. We foster an environment where diverse perspectives spark meaningful progress. Our workspaces echo - collaboration, inclusivity, and a relentless drive to solve real-world problems with bold ideas.
Life here thrives on continuous learning - where experimentation is encouraged, and faults are seen - as stepping stones to mastery. Our highly dynamic teams are not here to merely experiment - we are here to build tools that work, scale, and deliver value.
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