As a Business Development Manager at our company located in Gachibowli, Hyderabad, you will play a crucial role in driving the growth and success of our business. With over 5 years of experience in a sales role within the IT services and staffing industry, you will have the opportunity to identify, filter, and target high-value enterprise prospects to build long-term relationships with new and existing customers. Your responsibilities will include heading up our expansion in new markets and continuing to grow our client base. You will work closely with IT Managers to deliver tailored IT solutions, demonstrating your ability to navigate market challenges and opportunities effectively. By analyzing the latest trends, products, and services, you will find innovative ways to penetrate existing markets. To excel in this role, you must have a proven track record as a business development manager, showing your ability to build and maintain strong client relationships. Your interpersonal, presentation, and negotiation skills will be crucial in fostering and maintaining robust relationships with key clients, offering solutions and prototypes that cater to their specific requirements. Fluency in English is essential for effective communication with both internal and external stakeholders. If you are a results-driven individual with a passion for business development and a deep understanding of the IT industry, we invite you to join our team and contribute to our continued success.,
As a Business Development Manager based in Gachibowli, Hyderabad, you will be responsible for identifying, filtering, and targeting high-value enterprise prospects. You will play a key role in building and nurturing long-term relationships with both new and existing customers. Your primary duty will be to lead the expansion into new markets while continuing to grow the client base. Your success in this role will rely on your ability to collaborate effectively with IT Managers and deliver customized IT solutions. It is essential to possess a deep understanding of the market landscape and be adept at navigating its specific challenges and opportunities. You will be expected to analyze market trends, products, and services to identify strategies for penetrating existing markets. To excel in this position, you must have a minimum of 5 years of experience in sales within the IT services and staffing industry. Previous experience as a business development manager with a proven track record of establishing and maintaining strong client relationships is crucial. You will be required to cultivate and sustain meaningful relationships with key clients by offering tailored solutions that meet their unique needs. Fluency in English, both spoken and written, is a prerequisite for effective communication with internal and external stakeholders. Your interpersonal skills, presentation abilities, and negotiation prowess should be top-notch, inspiring trust and fostering strong relationships with clients.,
iFlow is hiring for Hardware Embedded Penetration Tester Key Responsibilities Below are the details: Extract firmware directly from embedded devices and systems Interact directly with hardware components and interfaces Perform firmware reverse engineering and analysis Audit the security of hardware protocols and communication interfaces Extract and analyze content from SPI flash and other on-board memory Interact with and test JTAG, UART, and other hardware debug interfaces Conduct penetration testing and vulnerability research on embedded systems Develop custom tools and scripts to automate and enhance testing capabilities Analyze findings, document vulnerabilities, and provide remediation recommendations Required Skills Proficient in firmware extraction and analysis Hands-on experience with hardware hacking and reverse engineering Strong understanding of embedded hardware interfaces and protocols Expertise in conducting JTAG, UART, and SPI-based testing Ability to identify and bypass hardware security mechanisms Familiarity with embedded operating systems and architectures Proficiency in programming and scripting (e.g., Python, C, Bash) Experience with hardware debug tools and test equipment Solid understanding of network security and penetration testing methodologies Ability to research, discover, and document hardware vulnerabilities Strong analytical and problem-solving skills
You are looking for a talented Data Engineer with 4+ years of experience to join your team in Pune/Hyderabad/Gurgaon/Hybrid location. As a Data Engineer, you will be responsible for converting and optimizing SAS code into PySpark using in-house tools and participating in end-to-end migration projects. Your role will involve developing and maintaining data pipelines in PySpark, ensuring seamless integration with Azure cloud services, and conducting rigorous testing and validation of converted code to meet performance benchmarks and client requirements. To excel in this role, you must have at least 4 years of experience in SAS and PySpark coding, with proven experience in migration projects. You should possess a strong understanding of testing and validating high-quality code, along with experience working with Azure cloud services such as Azure Synapse, Azure Data Lake, and Azure Databricks. Strong problem-solving skills and the ability to work independently with minimal guidance are essential. Good communication skills are important for effectively engaging with onshore clients in the services industry. Experience with CI/CD pipelines is preferred. Your responsibilities will include collaborating with clients to understand project requirements, communicating progress, and addressing concerns. You will troubleshoot and resolve issues independently, identifying and mitigating problems early in the development cycle. Maintaining a proactive approach to identifying improvements in code conversion and migration processes will be crucial for success in this role. If you meet the requirements and are excited about this opportunity, please share your resume at nagapushpa@iflowonline.com.,
Hello Connections, This is a REMOTE position. We are seeking a Staff LLM–RAG Engineer to lead the development and optimization of enterprise-grade retrieval-augmented generation systems. You will architect scalable AI solutions, integrate large language models with advanced retrieval pipelines, and ensure production readiness. This role combines deep technical expertise with the ability to guide teams and deliver results on aggressive timelines. Most Important Skills/Responsibilities: Lead RAG Architecture Design – Define and implement best practices for retrieval-augmented generation systems, ensuring reliability, scalability, and low-latency performance. Full-Stack AI Development – Build and optimize multi-stage pipelines using LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, or custom). Programming & Integration – Develop services and APIs in Python and Golang to support AI workflows, document ingestion, and retrieval processes. Search & Retrieval Optimization – Implement hybrid search, vector embeddings, and semantic ranking strategies to improve contextual accuracy. Prompt Engineering – Design and iterate on few-shot, chain-of-thought, and tool-augmented prompts for domain-specific applications. -Bachelors degree required - Strong proficiency in Python and Golang or RUST, with experience building high-performance services and APIs. Key Responsibilities Lead RAG Architecture Design – Define and implement best practices for retrieval-augmented generation systems, ensuring reliability, scalability, and low-latency performance. Full-Stack AI Development – Build and optimize multi-stage pipelines using LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, or custom). Programming & Integration – Develop services and APIs in Python and Golang to support AI workflows, document ingestion, and retrieval processes. Search & Retrieval Optimization – Implement hybrid search, vector embeddings, and semantic ranking strategies to improve contextual accuracy. Prompt Engineering – Design and iterate on few-shot, chain-of-thought, and tool-augmented prompts for domain-specific applications. Mentorship & Collaboration – Partner with cross-functional teams and guide engineers on RAG and LLM best practices. Performance Monitoring – Establish KPIs and evaluation metrics for RAG pipeline quality and model performance. Qualifications Must Have: 8+ years in software engineering or applied AI/ML, with at least 2+ years focused on LLMs and retrieval systems. Strong proficiency in Python and Golang or RUST, with experience building high-performance services and APIs. Expertise in RAG frameworks (LangChain, LangGraph, LlamaIndex) and embedding models. Hands-on experience with vector databases (Databricks Vector Store, Pinecone, Weaviate, Milvus, Chroma). Strong understanding of hybrid search (semantic + keyword) and embedding optimization. -Bachelors degree required Preferred: LLM fine-tuning experience (LoRA, PEFT). Knowledge graph integration with LLMs. Familiarity with cloud ML deployment (AWS (preferred), Databricks, Azure). - Masters or PHD degree in CS Soft Skills Strong problem-solving and decision-making skills under tight timelines. Excellent communication for cross-functional collaboration. Ability to work independently while aligning with strategic goals.
Hello Connections, This is a REMOTE position. We are seeking a Staff LLMRAG Engineer to lead the development and optimization of enterprise-grade retrieval-augmented generation systems. You will architect scalable AI solutions, integrate large language models with advanced retrieval pipelines, and ensure production readiness. This role combines deep technical expertise with the ability to guide teams and deliver results on aggressive timelines. Most Important Skills/Responsibilities: Lead RAG Architecture Design Define and implement best practices for retrieval-augmented generation systems, ensuring reliability, scalability, and low-latency performance. Full-Stack AI Development Build and optimize multi-stage pipelines using LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, or custom). Programming & Integration Develop services and APIs in Python and Golang to support AI workflows, document ingestion, and retrieval processes. Search & Retrieval Optimization Implement hybrid search, vector embeddings, and semantic ranking strategies to improve contextual accuracy. Prompt Engineering Design and iterate on few-shot, chain-of-thought, and tool-augmented prompts for domain-specific applications. -Bachelors degree required - Strong proficiency in Python and Golang or RUST, with experience building high-performance services and APIs. Key Responsibilities Lead RAG Architecture Design Define and implement best practices for retrieval-augmented generation systems, ensuring reliability, scalability, and low-latency performance. Full-Stack AI Development Build and optimize multi-stage pipelines using LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, or custom). Programming & Integration Develop services and APIs in Python and Golang to support AI workflows, document ingestion, and retrieval processes. Search & Retrieval Optimization Implement hybrid search, vector embeddings, and semantic ranking strategies to improve contextual accuracy. Prompt Engineering Design and iterate on few-shot, chain-of-thought, and tool-augmented prompts for domain-specific applications. Mentorship & Collaboration Partner with cross-functional teams and guide engineers on RAG and LLM best practices. Performance Monitoring Establish KPIs and evaluation metrics for RAG pipeline quality and model performance. Qualifications Must Have: 8+ years in software engineering or applied AI/ML, with at least 2+ years focused on LLMs and retrieval systems. Strong proficiency in Python and Golang or RUST, with experience building high-performance services and APIs. Expertise in RAG frameworks (LangChain, LangGraph, LlamaIndex) and embedding models. Hands-on experience with vector databases (Databricks Vector Store, Pinecone, Weaviate, Milvus, Chroma). Strong understanding of hybrid search (semantic + keyword) and embedding optimization. -Bachelors degree required Preferred: LLM fine-tuning experience (LoRA, PEFT). Knowledge graph integration with LLMs. Familiarity with cloud ML deployment (AWS (preferred), Databricks, Azure). - Masters or PHD degree in CS Soft Skills Strong problem-solving and decision-making skills under tight timelines. Excellent communication for cross-functional collaboration. Ability to work independently while aligning with strategic goals. Show more Show less