We are looking for AI/ML Engineers who are excited about building intelligent systems, AI agents, LLM-powered applications, and production-ready AI workflows that solve real business problems.
What Will You Be Doing?
- Design, develop, and maintain AI/ML applications and LLM-powered solutions.
- Build AI agents, agentic workflows, and orchestration layers.
- Develop and integrate Model Context Protocol tools and AI system integrations.
- Work with prompts, tools, retrieval, function calling, and workflow automation patterns.
- Collaborate with product, engineering, and business teams to convert use cases into AI solutions.
- Evaluate model performance, reliability, safety, and output quality.
- Support production deployment, monitoring, and continuous improvement of AI systems.
- Document solution architecture, workflows, evaluation results, and implementation details.
Requirements
What Makes You the Perfect Fit?
- 3+ years of experience in AI/ML engineering, LLM application development, backend engineering, or applied AI roles.
- Hands-on experience building LLM-powered applications or AI agents.
- Understanding of AI agent development, orchestration, and tool-based workflows.
- Exposure to Model Context Protocol tools and integrations, or willingness to learn quickly.
- Experience with Python and common AI/ML or LLM development frameworks.
- Understanding of prompt engineering, RAG, function calling, embeddings, and evaluation techniques.
- Ability to deploy, monitor, and improve AI solutions in production environments.
- Strong problem-solving, experimentation, and critical thinking skills.
- Good communication, collaboration, and ownership mindset.
- Understanding of MLOps, LLMOps, observability, monitoring, and evaluation pipelines.
- Bachelor's degree in Computer Science, IT, Engineering, Data Science, or a related field.
Good to Have Skills
- Exposure to working with temporal.
- Experience with ADK.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or pgvector.
- Familiarity with backend development using Python, Go, Java.
- Experience with workflow orchestration tools such as Temporal or similar platforms.
- Exposure to enterprise workflows, or regulated production environments.
Work Requirements
- Willingness to work in flexible shift timings based on project requirements.
- Ability to work independently on POCs, prototypes, and production AI solutions.
- Strong ownership in building reliable, secure, and useful AI systems.
Skills Required
- 3+ years of experience in AI/ML engineering, LLM application development, backend engineering, or applied AI roles
- Hands-on experience building LLM-powered applications or AI agents
- Understanding of AI agent development, orchestration, and tool-based workflows
- Exposure to Model Context Protocol tools and integrations, or willingness to learn quickly
- Experience with Python and common AI/ML or LLM development frameworks
- Understanding of prompt engineering, RAG, function calling, embeddings, and evaluation techniques
- Ability to deploy, monitor, and improve AI solutions in production environments
- Strong problem-solving, experimentation, and critical thinking skills
- Good communication, collaboration, and ownership mindset
- Understanding of MLOps, LLMOps, observability, monitoring, and evaluation pipelines
- Bachelor's degree in Computer Science, IT, Engineering, Data Science, or a related field
- Exposure to Temporal
- Experience with ADK
- Exposure to cloud platforms such as AWS, Azure, or GCP
- Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or pgvector
- Familiarity with backend development using Python, Go, or Java
- Experience with workflow orchestration tools such as Temporal or similar platforms
- Exposure to enterprise workflows or regulated production environments
- Willingness to work flexible shift timings based on project requirements
- Ability to work independently on POCs, prototypes, and production AI solutions
- Strong ownership in building reliable, secure, and useful AI systems
What We Do
Founded a decade ago, a group of seasoned professionals came together to ask ‘How might we use technology to bring the world closer to social justice?’ A small team was put together to create incredible solutions for organizations working towards delivering large scale impact. Today, we’re a global organization providing disruptive software solutions to our customers who are solving important problems in their industry and also the world we live in. At TechnoIdentity, we challenge our team of passionate technologists to create forward-looking solutions for our customers that improve operational efficiency and bolster their bottom line. We empower them with the tools, methodologies and decision-making to make real impact, fast. We invite creative minds and businesses to TechnoIdentity, let’s collaborate to transform lives through technology.
