AI Technical Engineer

Company Overview

We are a fast-growing research firm with a global footprint, addressing major market, strategic, economic, scientific, and technological developments for business leaders in industrial, pharmaceutical, and technology organizations. We provides comprehensive analysis of global market sizing, forecasting, and industry intelligence, covering markets where advances in science and technology are improving the quality, standard, and sustainability of businesses, economies, and lives. We are in the process of retooling the business for next-generation innovative online and AI-powered products.

Job Summary

We are seeking a skilled Agentic AI Technical Engineer to design, develop, and implement AI-powered solutions that enhance our market research and industry intelligence offerings. This role requires hands-on expertise in agentic AI systems, proficiency in machine learning frameworks, and the ability to collaborate on innovative online platforms. The ideal candidate will build autonomous, goal-oriented AI agents to deliver actionable insights for clients in industrial, pharmaceutical, and technology sectors.

Key Responsibilities

• System Development

  : Design and develop agentic AI systems, implementing reinforcement learning, natural language processing, and multi-agent coordination to support market analysis and forecasting.

• Model Implementation

  : Build, train, and deploy AI models that process complex datasets, delivering accurate and actionable insights for market research applications.

• Technical Collaboration

  : Work closely with AI engineers, data scientists, and product teams to integrate AI solutions into client-facing platforms and ensure seamless functionality.

• Research and Innovation

  : Apply advancements in agentic AI and machine learning to create cutting-edge tools for market sizing, forecasting, and industry intelligence.

• Performance Optimization

  : Optimize AI models for scalability, accuracy, and real-time performance, ensuring efficient data processing in production environments.

• Data Pipeline Development

  : Build and maintain data pipelines to support AI-driven analytics, ensuring data quality and compatibility with research objectives.

• Ethics and Compliance

  : Implement AI systems that adhere to ethical guidelines, data privacy regulations (e.g., GDPR, CCPA), and industry-specific compliance standards.

• Technical Support

  : Provide technical expertise and troubleshooting for AI systems, collaborating with teams to resolve issues and improve system performance.

Qualifications

• Education

  : Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Experience

  :
• 3–5 years building AI/ML-powered systems with at least one project involving agentic workflows or LLM-based automation
• Demonstrated experience building with tools like LangChain, LangGraph, or similar frameworks for multi-agent coordination
• Hands-on use of LLM APIs (e.g., OpenAI, Claude, Mistral), including prompt design, chaining, and tool integration
• Worked with vector databases (e.g., Pinecone, FAISS, Weaviate) for retrieval-augmented generation tasks
• Familiarity with deploying or integrating AI solutions in cloud environments (AWS, GCP, or serverless hosting)

• Technical Skills

  :
• Ability to design and optimize multi-step agent workflows using LLMs and external tools
• Strong Python developer with experience working in async, event-driven systems or streaming architectures
• Comfortable working with Neo4j or other graph databases to represent and query structured relationships
• Experience building or integrating lightweight ETL pipelines to ingest and transform structured/unstructured content
• Understanding of secure multi-tenant context handling and basic MLOps concepts like model versioning or feedback loops

• Communication and Collaboration Skills

  :
• Comfortable working cross-functionally with researchers, engineers, and product leads to turn workflows into agent behavior
• Able to clearly communicate system logic, capabilities, and limitations to both technical and non-technical stakeholders
• Experience working in distributed teams or async-first environments is a plus
• Self-motivated, organized, and able to manage ambiguity while delivering high-leverage contributions

• Preferred Qualifications

  :
• Experience with AI applications in market research, forecasting, or industry intelligence.
• Knowledge of industrial, pharmaceutical, or technology markets.
• Contributions to AI research, open-source projects, or publications in relevant fields.

• Nice to Have:

• Experience building domain-specific agents (e.g.,for research, finance, regulatory analysis, etc.)
• Exposure to reinforcement learning, RLHF, or retrieval scoring techniques
• Familiarity with streaming search, data federation, or client data integration pipelines
• Contributions to open-source agentic or LLM tooling, or AI writing/thought leadership
• Background in decision-support, research automation, or SaaS AI platforms

____________________________________________________________________________________

Ideal Candidate Profile

• Innovative Developer

  : Passionate about building AI solutions that transform market research and deliver impactful insights.

• Technical Problem Solver

  : Skilled at implementing and optimizing complex AI systems for real-world applications.

• Team Player

  : Thrives in collaborative environments, contributing to shared goals with a focus on quality and innovation.

• Client-Focused

  : Committed to developing AI tools that empower clients with actionable, data-driven insights.