Forward Deploy Engineer AI Solutions - Lead

AlgoLeap Technologies Pvt Ltd.; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

AlgoLeap Technologies Pvt Ltd. seeks an experienced AI/ML Software Engineer to design, build, and deploy AI-driven solutions for enterprise clients.

You will collaborate with stakeholders, translate business needs into viable AI architectures, and prototype rapid solutions with multi-agent systems and LLMs. Responsibilities include building robust AI-powered data pipelines, ensuring seamless integration with client IT landscapes, and delivering pilots and scale-ups on a tight timeline.

Qualifications

• BS in CS/Engineering or related field. Strong software foundation.
• 5-8 years in software/data engineering or ML-focused roles.
• Customer-facing or consulting experience is a plus.

Responsibilities

• Collaborate with enterprise clients and internal stakeholders to understand goals and constraints.
• Design, build, and deploy AI-driven solutions integrated into client systems.
• Prototype and productionize AI solutions with multi-agent systems and LLMs.
• Develop data pipelines and ensure secure, scalable data flow between systems.
• Provide training, docs, and enablement to client teams and support post-implementation.
• Lead technical delivery of pilots and full-scale implementations on time.

Skills

Python

Java

AI/ML fundamentals

Cloud platforms (AWS/GCP/Azure)

API design & integration

SDLC & Agile

Client-facing consulting

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Salesforce integration

ServiceNow integration

Job description

Job Description:

ESSENTIALDUTIES AND RESPONSIBILITIES

• Collaborate directly with enterpriseclients and internal stakeholders to deeply understand business goals,operational workflows, data landscapes, and technical constraints.
• Design, build, and deploy AI-drivensolutions, integrating core AI platforms into customer systems and workflows.
• Translate complex business problems intoviable AI solutions, focusing on where AI agents can augment or replace manualprocesses.
• Develop and maintain robust, scalableAI-powered systems, ensuring efficiency, reliability, and seamless integrationwith existing IT frameworks.
• Implement multi-agent systems andadvanced AI solutions, utilizing techniques such as prompting, memorymanagement, tool usage, and behaviour planning with Large Language Models(LLMs).
• Rapidly prototype and productionizesolutions, working with client teams to whiteboard concepts, build prototypes,and iterate quickly based on feedback.
• Build connectors and data pipelines forsecure and efficient data flow between client systems and AI platforms.
• Act as a technical solutions expert,providing troubleshooting, analysis, and support for AI-driven architectures.
• Provide training, documentation, andenablement to client business and operations teams, fostering self-sufficiencyand adoption of AI tools.
• Serve as a critical feedback loop tointernal product and engineering teams, influencing the roadmap based oncustomer insights and real-world deployment challenges.
• Lead the technical delivery of pilotprojects and full-scale implementations, ensuring on-time delivery andadherence to performance metrics.

QUALIFICATIONS

To performthis job successfully, an individual must be able to perform each essentialduty satisfactorily. The requirements listed below are representative of theknowledge, skill, and/or ability required.

EDUCATIONand EXPERIENCE

• Bachelors degree in Computer Science,Engineering, or a related technical field.
• 5-8 years of progressive experience insoftware engineering, data engineering, applied Machine Learning, or a similartechnical role.
• Experience in a customer-facing,consulting, or implementation capacity is highly desirable.

TECHNICALSKILLS

• Strong Programming Language Proficiency:Expert-level skills in at least one modern programming language (e.g., Python,Java).
• Strong AI Literacy: Demonstrableunderstanding of AI/ML fundamentals, including concepts like LLMs, RAG(Retrieval Augmented Generation), embeddings, and vector databases.
• Hands-on experience with cloud platforms(AWS/GCP/Azure), including familiarity with MLOps tooling.
• Experience with API design andintegration for AI services and enterprise systems (e.g., Salesforce,ServiceNow).
• Solid understanding of softwaredevelopment lifecycle (SDLC) best practices and agile methodologies.

GOOD TOHAVE

• Agentic AI Hands-on Experience: Practicalexperience in designing, building, and deploying AI agents or multi-agentsystems that exhibit autonomous, proactive, and adaptive behaviours.
• Familiarity with containerizationtechnologies (Docker, Kubernetes).
• Experience with data analytics andvisualization tools.
• Prior experience in the commercial realestate or adjacent industries.

OTHERSKILLS and ABILITIES

• Excellent written and verbalcommunication skills, with the ability to articulate complex technical conceptsto both technical and non-technical audiences.
• Strong problem-solving, analytical, andorganizational skills.
• Ability to work autonomously, managemultiple priorities, and deliver immediate value in open-ended problemenvironments.
• Consulting mindset with a focus onstakeholder management, rapid prototyping, and iterative delivery.
• Ability to build and maintain trustedclient relationships.