Senior Ai Technical Consultant

iNeovus LLC is seeking a highly skilled Senior AI Technical Consultant with extensive experience in software engineering, AI/ML, Generative AI, and Agentic AI. This full-time, remote position involves working closely with U.S.-based clients in a client-facing role, participating in technical interviews and discussions, and collaborating with internal teams to support project acquisition. The ideal candidate will have a strong engineering background, excellent spoken English skills, and the ability to clearly communicate complex technical concepts while building strong client relationships. The work schedule is 8:00 AM to 5:00 PM Eastern Time.

Key Responsibilities
- Participate in technical interviews, evaluations, and discussions with prospective U.S.-based clients.
- Demonstrate advanced expertise in software engineering, AI/ML, Generative AI, and Agentic AI technologies.
- Understand client requirements, address technical challenges, and propose practical, scalable solutions.
- Provide technical consulting on AI architecture, large language model (LLM) applications, retrieval-augmented generation (RAG) systems, and agent-based workflows.
- Collaborate closely with engineering teams to evaluate requirements, design solutions, and support project acquisition efforts.
- Represent iNeovus LLC professionally, establishing technical credibility and maintaining positive client relationships.

Required Qualifications

Software Engineering
- Over 7 years of professional software engineering experience, including production application development.
- Strong proficiency in Python, backend engineering, RESTful APIs, microservices, and distributed systems.
- Solid understanding of system architecture, design patterns, databases, and scalable application development.
- Experience with cloud platforms such as AWS, Azure, or GCP, along with CI/CD pipelines, Docker, and modern engineering practices.

AI/ML and Generative AI
- More than 5 years of professional AI/ML engineering experience, including designing, developing, and deploying production AI solutions.
- Strong knowledge of machine learning, deep learning, model training, evaluation, and optimization techniques.
- Hands-on experience with frameworks like PyTorch, TensorFlow, or scikit-learn.
- Practical experience with LLMs, Generative AI, RAG, embeddings, vector databases, and prompt engineering.
- Understanding of production AI application architecture, performance, evaluation, and reliability.

Agentic AI Engineering
- Hands-on experience developing Agentic AI applications, including AI agents, tool calling, workflow automation, and multi-step task execution.
- Familiarity with frameworks such as LangGraph, LangChain, Microsoft AutoGen, CrewAI, or OpenAI Agents SDK.
- Understanding of multi-agent systems, agent orchestration, memory management, and human-in-the-loop workflows.
- Knowledge of agent evaluation, observability, security, and production deployment.
- Ability to clearly explain Agentic AI architecture, implementation strategies, and technical trade-offs.

English Language Proficiency
- Exceptional spoken English proficiency is essential, with a minimum CEFR C1-level, near-C2 preferred.
- Excellent verbal fluency, clear pronunciation, and strong listening comprehension.
- Ability to explain complex technical concepts naturally, accurately, and confidently.
- Strong conversational skills, including spontaneous responses to technical questions and follow-up discussions.
- Clear, professional communication suitable for engagements with U.S.-based clients.

Interpersonal and Client Communication Skills
- Excellent interpersonal, presentation, and professional communication skills.
- Confidence and professionalism when interacting with U.S.-based clients and technical stakeholders.
- Strong active listening, problem-solving, and relationship-building abilities.
- Ability to communicate technical concepts clearly to both technical and non-technical audiences.
- Calm and effective handling of challenging technical discussions.
- Strong teamwork, adaptability, and collaboration skills.

Preferred Qualifications and Benefits
- At least 1 year of direct experience working with U.S.-based clients, preferably in AI/ML, software engineering, or technical consulting.
- Familiarity with U.S. business culture, workplace etiquette, and professional communication expectations.
- Previous experience in client-facing technical interviews, presales engineering, solution architecture, or technical consulting.
- Production experience with multi-agent AI systems, enterprise LLM applications, or AI workflow automation.
- Familiarity with AWS Bedrock, Azure AI Foundry, Google Vertex AI, MLOps, and LLMOps.
- Proven ability to contribute to successful client engagements and project acquisition.

Candidate Evaluation Process
Shortlisted candidates will undergo a comprehensive assessment including experience review, live English communication evaluation, technical interviews covering software architecture and AI expertise, client interview simulations to assess communication and professionalism, and a final management interview to evaluate teamwork and cultural fit.

Compensation
The position offers a competitive monthly salary ranging from Rs13,000,000 to Rs14,000,000.

This role provides an excellent opportunity to work remotely with a dynamic team, engaging with cutting-edge AI technologies and U.S.-based clients in a professional, collaborative environment.