Leoforce

Job Title: Backend Developer – AI-Driven Product Development Location: Hyderabad About Leoforce Leoforce is revolutionizing talent acquisition by building AI-powered agentic bots that automate and enhance hiring processes. Our backend systems form the foundation of these intelligent products, enabling scalable, reliable, and fast AI-driven workflows. We are looking for backend developers who thrive in building scalable AI-first products using large language models and cutting-edge AI tools to ship impactful solutions quickly. What You’ll Do Design, build, and maintain scalable backend systems and APIs that integrate AI capabilities like LLMs, RAG pipelines, and agentic workflows Collaborate closely with AI and product teams to translate AI models and workflows into robust, production-ready features Develop fast, asynchronous, and fault-tolerant microservices to handle complex user, candidate, and job data flows Build and optimize pipelines for prompt engineering, model evaluation, and continuous improvement of AI components Ensure code quality with testing frameworks and implement monitoring to maintain system reliability at scale Continuously learn and apply the latest advancements in AI tooling and backend architecture What We’re Looking For Strong backend development experience in Python (FastAPI preferred) or Java with emphasis on scalable system design Hands-on experience integrating large language models (OpenAI, Claude, etc.) into backend products Practical knowledge of RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering used to deliver product features Familiarity with AI orchestration tools or frameworks like LangChain, Haystack, or similar pipeline tools Experience evaluating and tuning model performance using tools such as Evals or prompt tuning techniques Proven ability to design fault-tolerant, asynchronous, and high-throughput backend systems Experience working with relational databases like MySQL or Supabase and handling unstructured data Comfortable with cloud platforms (AWS, Azure), especially AI and compute-related services Bonus: Knowledge of real-time systems and protocols such as WebSockets or Livekit Tech Stack Backend: Python (FastAPI), Java, .Net AI/LLM: OpenAI, Claude, RAG pipelines, agentic workflows, prompt engineering, guardrails, TTS/STT Databases: MySQL, Supabase Tools: LangChain, v0.dev, Cursor, Livekit Testing: Pytest, Evals Cloud: AWS, Azure Why Join Leoforce? Build cutting-edge AI-driven recruitment products that impact real users Work on fast-paced, production-grade systems with significant autonomy and responsibility Collaborate with a passionate team focused on innovation and quality Gain deep experience in AI and backend systems that power next-generation talent acquisition

You will be joining a team at Leoforce that is at the forefront of revolutionizing talent acquisition through the development of AI-powered agentic bots. As a Backend Developer, you will play a crucial role in building and maintaining scalable backend systems that form the foundation of intelligent products. These systems enable the automation and enhancement of hiring processes through the integration of AI capabilities such as large language models and cutting-edge tools. Your responsibilities will include collaborating with AI and product teams to translate AI models and workflows into robust features, developing fast and fault-tolerant microservices for handling data flows, optimizing pipelines for engineering and model evaluation, ensuring code quality through testing frameworks, and staying updated on the latest advancements in AI tooling and backend architecture. We are looking for candidates with strong backend development experience in Python (preferably with FastAPI) or Java, hands-on experience integrating large language models, practical knowledge of RAG pipelines and agentic workflows, familiarity with AI orchestration tools, experience in evaluating and tuning model performance, and the ability to design fault-tolerant backend systems. Experience with relational databases, cloud platforms (especially AWS and Azure), and real-time systems is also desired. In addition to working with a passionate team focused on innovation and quality, you will have the opportunity to build cutting-edge AI-driven recruitment products that have a real impact on users. You will work on fast-paced systems with autonomy and responsibility, gaining deep experience in AI and backend systems that drive next-generation talent acquisition.,

You will be joining Leoforce, a company at the forefront of revolutionizing talent acquisition through the development of AI-powered agentic bots. As a Backend Developer, you will have the opportunity to work on the backend systems that are fundamental to these innovative products, enabling scalable, reliable, and fast AI-driven workflows. Your responsibilities will include designing, building, and maintaining scalable backend systems and APIs that incorporate AI capabilities such as large language models, RAG pipelines, and agentic workflows. You will collaborate closely with AI and product teams to translate AI models and workflows into robust, production-ready features. Developing fast, asynchronous, and fault-tolerant microservices to manage complex data flows related to users, candidates, and job information will also be a key aspect of your role. In this role, you will build and optimize pipelines to facilitate efficient engineering, model evaluation, and continuous enhancement of AI components. Ensuring code quality through testing frameworks and implementing monitoring systems to uphold reliability at scale will be crucial. Furthermore, you will be expected to stay up-to-date with the latest advancements in AI tools and backend architecture and apply this knowledge effectively. The ideal candidate for this position will possess strong backend development experience in languages like Python (preferably FastAPI) or Java, with a focus on scalable system design. Hands-on experience in integrating large language models into backend products, familiarity with RAG pipelines, agentic workflows, and prompt engineering, as well as practical knowledge of AI orchestration tools or frameworks, will be highly valued. Experience with evaluating and optimizing model performance, designing fault-tolerant backend systems, working with databases, and cloud platforms will also be beneficial for this role. If you join Leoforce, you will have the opportunity to work on cutting-edge AI-driven recruitment products that have a real impact on users. You will be part of a dynamic team working on fast-paced, production-grade systems, offering significant autonomy and responsibility. Collaboration with a team that is passionate about innovation and quality will be a key aspect of your experience at Leoforce, allowing you to gain deep expertise in AI and backend systems that drive the future of talent acquisition.,

Job Title: Engineering Manager – AI Products Experience: 6+ Years Location: Hyderabad (Work from office) About Leoforce Leoforce builds AI-native agentic platforms that automate and accelerate hiring. Our engineering team focuses on building fast, scalable systems that integrate AI in practical, production-ready ways. Role Overview We’re hiring an Engineering Manager with deep technical expertise, strong execution skills, and experience leading teams that deliver production-grade software. You’ll work closely with Product and AI teams to drive architecture, delivery, and performance across backend systems that power our agentic automation platform. This is a hands-on leadership role. You should be comfortable diving into code, designing scalable systems, and setting a high bar for engineering quality. Responsibilities Lead a team of engineers delivering AI-integrated backend systems Design and review architecture for scalability, reliability, and performance Guide and unblock engineers across design, implementation, and deployment Ensure clean, well-tested code and solid system observability Partner with AI, DevOps, and Product to turn concepts into shipped features Drive planning, estimates, and team-level execution Own hiring, mentorship, and growth within your team Key Requirements 6 to 8 years of experience in backend engineering At least 1 to 2 years in a tech lead or engineering manager role Strong in system design, API design, and service-oriented architecture Proficient in .NET Core (preferred) or similar backend stacks like Python or Node.js Experience building distributed systems using microservices and message queues Familiarity with AI, LLM APIs, or agent-based workflows (integration or conceptual understanding is sufficient) Experience with cloud platforms like Azure or AWS Proficiency in containerization using Docker and Kubernetes Proven track record of delivering production systems in high-performance environments Experience with Kafka, Redis, or other event-streaming and data caching systems Exposure to prompt engineering or chaining LLM APIs into workflows Experience hiring and building high-performing engineering teams Why Join Leoforce? Work on real AI-first products, not AI add-ons Lead architecture and delivery with full ownership Build and scale systems from scratch Join a strong tech culture focused on clean code and fast execution

Job Title: Engineering Manager AI Products Experience: 6+ Years Location: Hyderabad (Work from office) About Leoforce Leoforce builds AI-native agentic platforms that automate and accelerate hiring. Our engineering team focuses on building fast, scalable systems that integrate AI in practical, production-ready ways. Role Overview Were hiring an Engineering Manager with deep technical expertise, strong execution skills, and experience leading teams that deliver production-grade software. Youll work closely with Product and AI teams to drive architecture, delivery, and performance across backend systems that power our agentic automation platform. This is a hands-on leadership role. You should be comfortable diving into code, designing scalable systems, and setting a high bar for engineering quality. Responsibilities Lead a team of engineers delivering AI-integrated backend systems Design and review architecture for scalability, reliability, and performance Guide and unblock engineers across design, implementation, and deployment Ensure clean, well-tested code and solid system observability Partner with AI, DevOps, and Product to turn concepts into shipped features Drive planning, estimates, and team-level execution Own hiring, mentorship, and growth within your team Key Requirements 6 to 8 years of experience in backend engineering At least 1 to 2 years in a tech lead or engineering manager role Strong in system design, API design, and service-oriented architecture Proficient in .NET Core (preferred) or similar backend stacks like Python or Node.js Experience building distributed systems using microservices and message queues Familiarity with AI, LLM APIs, or agent-based workflows (integration or conceptual understanding is sufficient) Experience with cloud platforms like Azure or AWS Proficiency in containerization using Docker and Kubernetes Proven track record of delivering production systems in high-performance environments Experience with Kafka, Redis, or other event-streaming and data caching systems Exposure to prompt engineering or chaining LLM APIs into workflows Experience hiring and building high-performing engineering teams Why Join Leoforce Work on real AI-first products, not AI add-ons Lead architecture and delivery with full ownership Build and scale systems from scratch Join a strong tech culture focused on clean code and fast execution Show more Show less

Job Title: Data Engineer & BI Report developer Location: Hyderabad Experience : 5–8 years Type: Full-time About the Role: We’re looking for a hands-on Data Engineer & BI Report developer who enjoys working across the full data pipeline from getting data in, transforming it into dashboards that help teams make better decisions. You’ll primarily work with our proprietary data platform, BlocData, which offers a user-friendly UI for managing data transformation and workflow orchestration. In addition, you may use Apache Superset to create dashboards and reports. While the focus is on data engineering using BlocData, experience with Apache Superset is a plus. If you're someone who enjoys solving problems using SQL, building clean data pipelines, and delivering insights through BI tools, this role is for you. What You’ll Do: Data Engineering (with BlocData): 1. Set up data ingestion workflows from files, APIs, or databases using BlocData’s UI. 2. Map and transform data using built-in functions or SQL (for advanced logic). 3. Configure data matching, deduplication, and rule-based enrichment. 4. Monitor and schedule workflows using BlocData’s event scheduler. 5. Use Debezium for change data capture from source systems. BI & Reporting (with Apache Superset): 1. Build dashboards and visualizations in Superset based on processed data. 2. Set up filters and write and optimize SQL queries for reports. What We’re Looking For: 1. 3+ years of experience in data engineering and/or BI development. 2. Strong SQL skills (with PostgreSQL). 3. Experience with BI tools like Apache Superset. 4. Comfortable working with low-code tools like BlocData (training can be provided). 5. Good understanding of data pipelines, transformations, and workflow scheduling 6. Nice to have: Familiarity with CDC tools like Debezium.

Job Title: Senior AI Transformation Specialist Experience: 3+ years Job Location: Hyderabad Job Overview: This is a customer-facing, hands-on leadership role responsible for delivering end-to-end AI transformation starting from AI readiness assessments and data strategy to model development, intelligent agent deployment, and automation. The ideal candidate will have consulting experience, excellent communication skills, and a strong background in data engineering and applied AI. Primary Responsibilities: · Engage directly with customers to understand their business goals, current challenges, and workflow gaps. · Conduct detailed discovery sessions to assess existing data infrastructure, sources, and readiness for AI. · Identify AI opportunities and recommend tailored solutions aligned with the customer’s use case. · Design scalable data pipelines and AI-ready data layers while ensuring data quality and integrity. · Develop and deploy AI/ML models and intelligent agents integrated with business operations. · Ensure all solutions align with customers' data security, privacy, and compliance requirements. · Collaborate with internal teams to ensure smooth delivery, adoption, and long-term success of AI solutions. · Communicate technical solutions clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: · 3+ years of experience in AI/data transformation roles at a consulting or technology services company. · Proven experience in engaging enterprise clients and leading AI strategy and execution. · Strong knowledge of data engineering, cloud data lakes, and modern AI/ML development workflows. · Hands-on experience with Python, SQL, and ML frameworks like scikit-learn, TensorFlow, or PyTorch. · Familiarity with LLMs, AI agent frameworks (e.g., LangChain, RAG), and vector databases (e.g., FAISS, Qdrant). · Experience with cloud platforms like Azure, AWS, or GCP. · Strong understanding of data security and regulatory compliance in solution design. · Excellent communication and stakeholder management skills.